SecOceansAuthorized adversarial testing for AI systems
Practical training in attacking LLM applications, agents, and AI infrastructure the way a real adversary would — in controlled, authorized lab environments, not production systems.
What Is AI Red Teaming?
Authorized adversarial testing, applied to AI systems
AI Red Teaming applies established penetration testing discipline — reconnaissance, exploitation, evidence, reporting — to LLM applications and AI agents. It is authorized security testing performed with explicit permission against systems designated for testing, not an attack on live production without consent.
Attack Areas
What we test
The AI Red Teaming curriculum is organized around these attack areas.
LLM Red Teaming
NewAdversarial testing methodology for large language models.
AI Application Penetration Testing
NewFull-scope penetration testing of AI-powered applications.
Jailbreak Testing
NewTesting model safety boundaries and jailbreak resilience.
Prompt Injection Testing
NewHands-on prompt injection attack testing techniques.
Agent Security
NewSecurity assessment of autonomous AI agents.
Tool / Function Calling Security
NewSecurity of tool-use and function-calling in AI systems.
RAG Attack Testing
NewAttack techniques targeting retrieval-augmented pipelines.
AI Security Assessments
NewEnd-to-end AI security assessment engagements.
Sensitive Information Disclosure
NewTesting for AI systems leaking sensitive data under adversarial input.
System Prompt Exposure
NewTesting resistance to system prompt extraction attempts.
LLM Application Testing
NewEnd-to-end security testing of LLM-powered applications.
Excessive Agency
NewTesting for AI agents granted more autonomy or permissions than is safe.
Improper Output Handling
NewTesting how downstream systems trust and act on unvalidated AI output.
AI Application Attack Surface
NewMapping the full attack surface of an AI-powered application.
AI Security Misconfigurations
NewIdentifying insecure default and misconfigured AI system deployments.
Methodology
A structured, authorized testing workflow
Every engagement follows the same disciplined sequence — not ad-hoc probing.
Reconnaissance
Attack Surface Mapping
Threat Modeling
Test Case Development
Controlled Attack
Evidence Collection
Impact Analysis
Root Cause
Remediation
Retesting
Curriculum
Curriculum & modules
The detailed module-by-module curriculum for AI Red Teaming is being finalized alongside the attack areas above. Rather than publish placeholder modules, we'll share the current syllabus directly — contact us for the latest curriculum and scheduling.
Who It's For
Built for people who test AI systems
Generally suited to, though not limited to:
Hands-On Training
Practical testing, not just theory
Authorized lab environments
Every attack technique is practiced against systems built for testing.
Real attack scenarios
Test cases modeled on how these systems actually get attacked.
Instructor-led sessions
Guided, live testing sessions rather than self-paced theory.
Training Format
Live, instructor-led sessions
This is delivered as live, instructor-led training with hands-on labs — not a self-paced video course.
Ready to put your AI systems to the test?
View the curriculum above or reach out to discuss scheduling authorized AI Red Teaming for your team.